Hi, Is there a way I can make indicators on separate factors orthogonal to the other factors and their indicators using the monte carlo command? I'd like to produce a data set of an ideal CFA with items loading on intended factors at .6 and no modification indices from each factor to items that aren't supposed to load onto them (correlations between indicators on the same factor would be fine though). I thought adding

Thank you for your support! I've been working at the models using the examples from ch 5 & 11. I've run into an issue that makes me unsure if I'm setting it up right. This is my syntax for a 6-factor (6 indicators each) model with 6 bad cross-loadings each (the .5 loadings).

In your model statement you should not fix the cross-loadings as you do in for instance y7-y12@.5.

But then you say that analysis is done with another syntax file and it sounds like that's the one that think gets too good fit indices. We need to see that file. This sounds like it is best handled via support so please send it there.